MICROSOFT FABRIC IMPLEMENTATION 

Scale Beyond
Power BI With
Microsoft
Fabric.


When your data volumes grow, your governance needs tighten, and Power BI alone isn't enough - Fabric is the answer. We implement it right, the first time, with a DP-600 certified team that's done it across 20+ industries.
MICROSOFT FABRIC EXPLAINED

Power BI was the start.
Fabric is what comes next.
              

Microsoft Fabric is Microsoft's unified analytics platform — bringing together data engineering, data warehousing, data science, real-time analytics, and Power BI into a single, governed environment backed by One Lake.

If Power BI is the reporting layer, Fabric is the entire foundation beneath it. Teams that implement Fabric properly eliminate data silos, dramatically reduce data pipeline complexity, and unlock AI-powered analytics at scale - without managing a fragmented stack of separate tools.

It's not a replacement for Power BI - it's the infrastructure that makes Power BI faster, more reliable, and enterprise-grade.

IS THIS FOR YOU?

Teams ready to

scale their data platform

Fabric isn't for everyone right now. Here's who gets the most from it.

You're hitting Power BI's limits

Reports are slow, data volumes are growing, and your current architecture is becoming a bottleneck. You need a proper data platform, not more workarounds.

You have a fragmented data stack

You're managing Azure Data Factory, Synapse, SQL servers, and Power BI separately. Fabric consolidates this into one governed, cost-efficient platform.

Governance & security are critical

Enterprise clients, regulated industries, or complex security requirements. Fabric's unified governance model means one policy engine across your entire data estate.

THE REAL COST OF WAITING

What your current stack 
is costing you right now
              

Every quarter you delay a proper Fabric implementation is a quarter of technical debt, inefficiency, and lost competitive advantage.


Slow reports at enterprise scale

Import mode can't handle tens of millions of rows without performance issues. Direct Lake in Fabric solves this - reports that load in seconds regardless of data volume.

Multiple tools, no single data source

Data engineering team uses one tool, analysts use another, BI team a third. Everyone has their own copy of the data. One Lake ends this - one storage layer, many experiences.

Governance gaps at scale

Managing access, lineage, and compliance across separate tools is a full-time job. Fabric's unified governance means one place to manage data policies across your entire estate.

One capacity bill, instead of three

Managing separate billing meters across ADF, Synapse, and Power BI Premium is complex and unpredictable. Fabric's unified capacity model simplifies that: one SKU, one place to monitor consumption, and for teams already on Premium P SKUs, often a cost-neutral or better migration.

WHAT WE IMPLEMENT

Our Fabric

capability areas

01

Lakehouse & Warehouse Setup

Design and implement your OneLake architecture - medallion layers, Delta tables, schemas - built for both performance and long-term maintainability.


One Lake
Delta Lake
Medallion

02

Data Pipeline Migration

Migrate and modernize your data pipelines to Fabric Data Factory - consolidating orchestration, dataflows, and transformations into a single integrated workspace. Asses and map complex ADF dependencies to make more informed migration decisions. 

Data Factory
Dataflows Gen2
Pipelines

03

Direct Lake Power BI

Connect your Power BI semantic models directly to your Fabric Lakehouse via Direct Lake - significantly reducing or eliminating scheduled refreshes and delivering fast query performance without the overhead of import mode.
Direct Lake
Semantic Model
DAX

04

Real-Time Intelligence

Implement streaming data pipelines with Eventstream and KQL databases - enabling live dashboards, real-time operational monitoring, and event-driven alerting via Fabric Activator.

Eventstream
KQL
Real-Time

05

Governance & Security

Implement workspace governance, row-level security, data lineage, sensitivity labels, and Microsoft Purview integration - enterprise-grade data management from day one.

Purview
RLS/OLS
Lineage

06

Copilot & AI Enablement

Build the foundation for AI-ready data; well-structured semantic models, clean lakehouse architecture, and the governance guardrails that make Copilot and natural language querying possible and useful. 

Copilot
AI Skills
NL Queries
HOW WE WORK

From assessment
to full deployment
              

A structured 4-phase engagement designed to minimise disruption and
maximise adoption. Typical timeline: 8-16 weeks.


01

WEEK 1 - 2

Fabric Readiness Assessment

We audit your current data stack - Power BI semantic models, Azure infrastructure, data sources, governance policies, and team capabilities.
You leave with a clear picture of what Fabric migration looks like for your specific situation, and a business case you can present to leadership.
Data Audit
Architecture Review
Cost Modeling
Readiness Score

02

WEEK 3 - 5

Architecture Design

We design your Fabric architecture - workspace structure, OneLake layout, medallion layers, capacity planning, security model, and governance framework.
Every decision is documented and reviewed with your team before build begins.
OneLake Design
Medallion Architecture
Capacity Planning
Security Model

03

WEEK 6 - 14

Implementation & Migration

We build and migrate in sprints - pipelines, lakehouses, semantic models, and reports - keeping your existing environment live throughout.
Each sprint delivers testable, working components. Your team is involved at every stage so knowledge transfers continuously.
Lakehouse Build
Pipeline Migration
Direct Lake Setup
Sprint Reviews

04

WEEK 15 - 16

Cutover & Enablement

Controlled cutover to Fabric with zero downtime. We train your data engineering team on Fabric administration and your BI developers on Direct Lake and Copilot - then hand over full documentation and a 30-day support window.
Live Cutover
Admin Training
Developer Enablement
Documentation

WHY DATA TRAINING FOR FABRIC

Certified expertise,

not generic breadth.

DP- 600

Microsoft Fabric Analytics
Engineer certified team

1.1 Million+  practitioners

Follow our Power BI & Fabric content - we set the standards others follow

We've been building with Fabric since early access

We didn't get certified when Fabric went GA - we were building with it before. Our team has more real-world Fabric implementation experience than most partners who certified recently.

Power BI expertise runs deep

Fabric without strong Power BI skills is half a solution. Our team's roots are in advanced Power BI - DAX optimization, semantic model design, report UX - which means the consumption layer is as strong as the infrastructure.

We train your team, not just deliver solutions

Our ultimate goal is to help our Clients independently maintain solutions we have built. At handoff we provide a full, workshop style training, as well as train hands-on teams and business users.

No disruption during migration

We migrate in parallel - your existing Power BI environment stays live throughout. Users notice no disruption. The cutover is controlled and tested before anything goes live.

WHERE ARE YOU STARTING FROM?

Three migration
starting points

PATH  A  - 
MOST COMMON

Power BI Premium → Fabric

You're already on Power BI Premium and want to unlock Fabric capabilities without disrupting existing reports.


  • Migrate Premium workspaces to Fabric capacity
  • Assess and migrate semantic models to Direct Lake - rebuilding where needed
  • Evaluate Copilot readiness and enable where capacity supports it
  • Typical timeline: 6–12 weeks

PATH B  -  CONSOLIDATION

Azure Stack → Fabric

You're running ADF, Synapse, and Power BI separately and want to consolidate onto one unified platform.



  • Audit and migrate ADF pipelines to Fabric Data Factory
  • Migrate Synapse workload to Fabric Warehouse and Lakehouse 
  • Consolidate fragmented data stores into OneLake
  • Connect existing Power BI reports to Fabric and evaluate Direct Lake readiness
  • Typical timeline: 12–20 weeks

PATH C  - 
GREENFIELD

Starting Fresh with Fabric

You're building your data platform from scratch and want to start with Fabric natively rather than inherit legacy architecture.


  • Architecture workshop and documented design - medallion layers, storage strategy, and governance model defined before build begins
  • Build OneLake architecture, Delta tables, and data pipelines - structured for performance and long-term maintainability
  • Semantic models built natively for Direct Lake 
  • Typical timeline: 8–14 weeks

CLIENT RESULTS

What teams say
after working with us

''

The team's depth in both Power BI and Fabric architecture was immediately clear. They didn't just implement what we asked for — they challenged assumptions and delivered something significantly better.

Data Platform Lead

Enterprise Energy Client

''

We went from running three separate Azure services to a single Fabric workspace. Our data team now spends time building features, not managing infrastructure. The ROI was clear within the first quarter.

Head of Analytics

PwC

''

What impressed us most was the knowledge transfer. By the end of the project our team could maintain and extend everything independently. That's rare in consulting engagements.

BI Manager

International Retailer



QUESTIONS

Honest answers
about Fabric
              

We'll tell you if Fabric isn't right for you yet. That's what the assessment is for.





START HERE

Book a Fabric
Readiness Assessment

30 minutes. We review your current stack, give you an honest assessment of what migration would involve, and tell you whether now is the right time to move.

Do we need to move everything to Fabric at once?

No - and we'd caution against it. We always recommend a phased approach, starting with a contained pilot (one business area, one data domain) that proves value before expanding. Your existing Power BI environment stays live throughout the entire engagement. The cutover is controlled, tested, and happens only when you're confident.

We already have Power BI Premium. Do we need Fabric?

Power BI Premium gives you great reporting capabilities, but Microsoft Fabric goes much further. Fabric unifies your entire data stack - from ingestion and transformation to warehousing and analytics - all in one platform. If you're managing data across multiple tools today, Fabric eliminates that complexity and reduces cost. Think of it as the natural evolution of your Premium investment, not a replacement.

How does Fabric affect our existing Power BI reports?

Your existing Power BI reports continue to work without any changes. Fabric is fully backward compatible - all your current datasets, dashboards, and reports remain intact. 

What does a typical Fabric engagement cost?

Every engagement is scoped based on your specific environment, data complexity, and business goals. Most clients start with a pilot engagement before committing to a full rollout. Once we start, we keep you fully in the loop at every stage. You get access to a daily progress tracker so you can see exactly where things stand at any point in time.

Do we need a data engineering team internally?

Not necessarily. We design our engagements to match your internal capabilities. If you have an existing IT or BI team, we work alongside them and upskill them throughout the project. If you don't, we can build and operate the solution on your behalf, and transition it to you when you're ready. The goal is always to leave you self-sufficient.

Is Fabric mature enough to use in production now?

Yes. Microsoft Fabric reached General Availability in November 2023 and is already being used in production by thousands of enterprise customers globally. Microsoft is investing heavily in the platform, with frequent feature releases and enterprise-grade SLAs.

READY TO SCALE?

Start with a
Fabric Readiness Assessment

Book a 30-minute call. We'll assess your current stack and tell you honestly whether
Fabric makes sense for you now - and what it would take.